GOAL solver: a hybrid local search based solver for high school timetabling

George Henrique Godim Fonseca (), Haroldo Gambini Santos (), Túlio Ângelo Machado Toffolo (), Samuel Souza Brito () and Marcone Jamilson Freitas Souza ()
Additional contact information
George Henrique Godim Fonseca: Federal University of Ouro Preto
Haroldo Gambini Santos: Federal University of Ouro Preto
Túlio Ângelo Machado Toffolo: Federal University of Ouro Preto
Samuel Souza Brito: Federal University of Ouro Preto
Marcone Jamilson Freitas Souza: Federal University of Ouro Preto

Annals of Operations Research, 2016, vol. 239, issue 1, No 5, 77-97

Abstract: Abstract This work presents a local search approach to the High School Timetabling Problem. The addressed timetabling model is the one stated in the Third International Timetabling Competition (ITC 2011), which considered many instances from educational institutions around the world and attracted seventeen competitors. Our team, named GOAL (Group of Optimization and Algorithms), developed a solver built upon the Kingston High School Timetabling Engine. Several neighborhood structures were developed and used in a hybrid metaheuristic based on Simulated Annealing and Iterated Local Search. The developed algorithm was the winner of the competition and produced the best known solutions for almost all instances.

Keywords: Third International Timetabling Competition; High School Timetabling Problem; Simulated Annealing; Iterated Local Search; Metaheuristics (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-014-1685-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:239:y:2016:i:1:d:10.1007_s10479-014-1685-4

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-014-1685-4

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().